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Showing 1 to 20 of 366 for “"Ordinary Least Squares"”.
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Structural equation modeling compared with ordinary least squares in simulations and life insurers’ data
Structural equation model (SEM) is a general approach to analyze multivariate data. It is a relatively comprehensive model and combines useful characteristics from many statistical approaches, thus enjoys a variety of advantages when dealing complex relationships. This report gives a brief …
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Deming Regression: An Alternative to Ordinary Least Squares in Handling Error in Variables Models with Noisy Datasets
… of the dependent variable. The alternative to Ordinary Least Square (OLS) could be Reduced Major Axis (RMA) and Grouping method when the error variances of both the independent and dependent variables are not exactly known, whereas, in the situation where the error variances are exactly known, …
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A Comparison Of Ordinary Least Squares, Weighted Least Squares, And Other Procedures When Testing For The Equality Of Regression
… for the equality of regression slopes based on ordinary least squares (OLS) estimation, extant research has shown that the standard F performs poorly when the critical assumption of homoscedasticity is violated, resulting in increased Type I error rates and reduced statistical power (Box, 1954; …
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POSITIVE PEER CULTURE PROBLEM LABELS AND JUVENILE DELINQUENCY: AN EXPLORATORY PRINCIPAL COMPONENTS ANALYSIS AND ORDINARY LEAST SQUARES REGRESSION ANALYSIS OF LOW SELF-IMAGE, INCONSIDERATE OF OTHERS, AND INCONSIDERATE OF SELF
… outlined in the literature. Findings based on ordinary least squares regression models suggest that the PPC problem labels are not significant predictors of general delinquency (i.e., status offense, property and person crimes, drug and alcohol) when accounting for other variables based on …
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POSITIVE PEER CULTURE PROBLEM LABELS AND JUVENILE DELINQUENCY: AN EXPLORATORY PRINCIPAL COMPONENTS ANALYSIS AND ORDINARY LEAST SQUARES REGRESSION ANALYSIS OF LOW SELF-IMAGE, INCONSIDERATE OF OTHERS, AND INCONSIDERATE OF SELF
… outlined in the literature. Findings based on ordinary least squares regression models suggest that the PPC problem labels are not significant predictors of general delinquency (i.e., status offense, property and person crimes, drug and alcohol) when accounting for other variables based on …
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An Empirical Analysis of the Determinants of Initial Occupational Choice by Male High School Graduates
… used. The first was a sample two stage logit/ordinary least squares procedure. The second was a modified two stage logit/ordinary least squares procedure that corrected for self-selectivity bias. the third strategy consisted of a modified two stage logit/ordinary least squares procedure that …
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The contribution of Foreign Direct Investment (FDI) to domestic employment levels in South Africa: a Vector Autoregressive Approach
… equation estimation techniques, including the Ordinary Least Squares (OLS), Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS) and Canonical Co-integrating Regression (CCR) models as supporting and confirmatory tools to verify the results produced by the …
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Estimation and inference for conditionally heteroscedastic models
The ordinary least squares (OLS) method is known to be efficient for linear models when the errors are homogeneous with Gaussian distributions, but troublesome with heteroscedastic or non-Gaussian errors. For the latter nonstandard case, we use the weighted quantile regression (l$\sb1$) method, …
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Female labour force participation and economic growth in South Africa
… together with cointegration equations (FM-Ordinary Least Squares, Canonical Cointegrating Regression and Dynamic Ordinary Least Squares) to establish the long-run and shortrun relationships and the effect of economic growth and unemployment on the participation of women in the labour force. …
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Robust Regression Methods For Massively Decayed Intelligence Data
… Carlo methods, three regression techniques (ordinary least squares, least-trimmed, and maximum likelihood) were tested against different data decay models presumed to be found in homeland security research studies in order to test whether these techniques will preserve the Type I error rate …
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Genetic and Genetic-Feeding Regimen Interaction Effects on Lactation, Growth and Carcass Traits in Dairy Cattle
… compared using simulation. Estimated generalized least-squares regression of body-weight on age was a better estimator of ADG (gave lower mean square error of ADG and variance components) than the usual estimator, which itself was better than ordinary least-squares regression.
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An econometric study on the market structures of the world demand for high protein meals, with special emphasis upon the United States soybean economy
… and four linear identities. The three-stage least squares procedure was employed to estimate the unknown structural parameters of the statistical model. The statistical analyses of this study contribute to the quantification of demand interrelationships between soybean meal and other high …
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A THREE PART ESSAY ON THE ROLE OF GOVERNMENT SUBSIDIES ON FIRM LEVEL INNOVATIVE CAPACITY A SYNTHESIS OF EFFECT, PRODUCTIVITY AND PROFITABILITY.
… have on firm level performance. We adopt Ordinary Least Squares in this endeavor. In the second chapter, we measure, evaluate, and assess whether external infrastructures allow firms to exploit their resources in order to gain maximum efficiency and effectiveness. In this regard, we review …
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Smoking, Drinking, and Binge Drinking: An Empirical Study of the Role of Price on Consumption by High School Seniors
… I estimate time-series demand functions using Ordinary Least Squares in order to examine the effects of real cigarette and alcohol prices on their respective consumption. My targeted population is high school seniors in the United States. The data I use come from Monitoring the Future, The Tax …
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Will SEEK Funding Help Bring Equity in Educational Output to Kentucky's School Districts?
… emphasizing Kentucky, past and present. An ordinary least squares regression analysis will be used to predict the success of the Support Educational Excellence in Kentucky formula. Success is defined as bringing equity of testbased outputs to all school districts. The model and variables are …
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Modern portfolio optimization using robust estimation techniques
… robust procedures, yield better results than the Ordinary Least Squares (OLS) procedure.
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The differential effect of anxiety on reading achievement in upper elementary grade students with reading difficulty
… prior to implementation of the intervention. Ordinary least squares regression and unconditional quantile regression approaches were used in order to better understand the relation along a distribution of reading ability. Results showed that the three anxiety measures were positively and …
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Spatial Data Analysis
… for Lattice Data were discussed. In addition to Ordinary least squares, a conventional method of modeling spatial data; various types of spatial regression techniques, such as Simultaneous Autoregressive (SAR), Conditional Autoregressive (CAR), Generalized Least Squares (GLS), Linear Mixed …
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Dynamic and robust estimation of risk and return in modern portfolio theory
… the Sharpe model parameters are estimated using ordinary least squares, the regression assumptions are violated when there is significant autocorrelation and heteroskedasticity in the residuals. Furthermore, the presence of outlying observations in the data leads to unreliable estimates when the …
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Geospatial Analysis of Informal Settlement Development in Cape Town
… of change detection, linear regression, and ordinary least squares analysis across the selected informal settlements, results from this study showed that the major development characteristic was the densification of shacks. This densification followed along major formal and external transport …
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